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Real-time prediction of the air contaminant dispersion is an important issue in hazard assessment and emergency management of air pollution. The conventional atmospheric simulation can seldom give the precise prediction results due to inaccurate input parameters. To improve the accuracy of the prediction of atmospheric model, a real-time data driven atmospheric dispersion simulation based on data...
Rainfall erosivity is an essential factor to describe the potential soil loss caused by rain, which can be expected to change in correspondence to climate changes. Spatial distribution pattern of rainfall erosivity is a guideline to erosion regional difference revelation and soil conservation regionalization. The focus of this article is to search an optimum spatial interpolation model for the mapping...
Oil mist concentration is one of the important factors that influence the state of equipment, so it is very critical to monitor oil mist concentration accurately and quickly. A kind of monitor device is designed to carry on the sampling of the air inside and get the original data. And forecasting the variety of oil mist concentration with grey model, it opens the air decontamination device before...
Based on the statistical data of 2000-2008 year, covering 31 provinces of panel data, the aim of this paper is to analyze and estimate the relationship between the model of foreign direct investment and the provincial gross domestic product growth rate. We found that foreign direct investment inflows on regional economic growth greatly influence an increase of 1 percentage point per input, it will...
Objective Forecast and analysis of cerebral infraction incidence rate are the basis and key work of cerebral infraction prevention and control. At present, forecast of cerebral infraction incidence rate is mainly based on traditional research approach or single artificial neural network technology. Recent study results show that combined forecast model approach enjoys more precise forecast than monomial...
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